Responsibilities
1. Participate in the research and development of international short video search engines, using the most cutting-edge machine learning algorithms and massive data to create the most exciting technologies and give users the best search experience 2. Participate in the improvement of international short video search algorithms. Optional directions include: (1) Explore cutting-edge NLP technology: From basic word segmentation and NER to application Query analysis, basic correlation, etc., apply deep learning models in the entire link, and every detail is full of challenges (2) Cross-modal matching technology: Apply CV+NLP deep learning technology in search to make search have more powerful retrieval capabilities in the above-mentioned businesses Engage in the research and development of video search, visual search and other related algorithms, including video content understanding, visual representation learning, multi-modal fusion, etc. (3) Personalized search: Apply large-scale machine learning to solve the recommendation problem in search, making the search more personalized and understand you better (4) Hundreds of billions of data: In-depth research and innovation in all aspects from large-scale offline computing, distributed system performance and scheduling optimization to building high-availability, high-throughput and low-latency online services.
Qualifications
1. Excellent basic machine learning and deep learning capabilities, with certain application experience in NLP, CV, machine learning, LLM, etc. 2. Solid coding ability, data structure and basic algorithm skills 3. Excellent problem analysis and problem-solving abilities 4. Familiar with the Linux development environment, proficient in using C++ and Python languages 5. Bonus points for those with experience in search algorithms.
